硕士论文参考文献中范文参考

　　范文一

　　[1] Bismut, J.M. Analysis convexe et probabilities[J], Jacrnal of Mathematical Analysis andApplicaions. 1973，vol. 42(3), 639-673.

　　[2] Bismut, J.M. Controle des systems lineaires quadratiquas: applications del integralestochastique[M]，Semin. Proba. XII. Lect. Notes in Math. 1978，649: 180-264,Springer.

　　[3]Peng, S. G. (1992b), A generalized dynamic programming principle andHamiltion-Jacobi-Bellman equation[J]，Stochastic，1992，Vol. 38，119-134.

　　[4] Pardoux，E, and Peng, S. G. (1992)，Backward stochastic differential equations and quasi-linearparabolic partial differential equations [J]. Lecture notes in CIS 176，200-217，Springer.

　　[5] Kohlmann，M. and Zhou, X. Y. Relationship between backward stochastic differential equationsand stochastic controls [J]: a linear-quadratic approach, SIAM Journal on Control and Optomization,2000，38(5),1392-1407.

　　[6] Emmanuel Gobet，Jean-Philippe Lemor and Xavier Warin Centre. A regression-based MonteCarlo method to solve backward stochastic differential equations [J]. The Annals of AppliedProbability. 2005, Vol.l5?N0.3? 2172-2202.

　　[7] Peng, S. G. Probabilistic interpretation for systems of quasilinear parabolic partial differentialequations [J], Stochastic, 1992，37,61-74.

　　[8] Peng, S. G. (1992a)，Stochastic Hamilton-Jacobi-Bellman Equations [J] ? SIAM J. Control Optim.30，284-304.

　　[9] Antonelli, F. Backward-forward stochastic differential equations[J]，Ann. Appl. Probab. 1993，3，777-793.

　　[10] Ma, J. Protter, P. and Yong, J. Solving forward-backward stochastic differential equationsexplicitly-a four step scheme[J]? Probability Theory and Related Fields, 98(3)，1994，339-359.

　　[11] Tang, S. and Li, X. Maximun principle for optimal control of distributed parameter stochasticsystems with random jumps [J]，Differential equations, dunamical systems, and control science, 1994,152，867-890.

　　[12] Rong，S. On solutions of a backward stochastic differential equations with jumps andapplication, Stochastic Processes and Their Apllications, 1997，66，209-236.

　　[13] Yong，J. Finding adapeted solutions of forward-backward stochastic differential equations:method of continuation[J]，Probability Theory and Related Fields, 1997,107(4)，537-572.

　　[14] EI Karoui，N., Peng, S. G and Quenez，M. C. Backward stochastic differential equations infinace, Mathematical Finance，1997, 7(1)，1-71.

　　[15] Rouge, R. and EI Karoui, N. Pricing via utility maximization and entropy [J], MathematicalFinance, 2000，10(2)，259-276.

　　[16] Kobylanski, M. Backward stochastic differential equations and partial differential equationswith quadratic growth[J]? The Annals of Probability，2000,28(2), 558-602.

　　[17] Briand, P. and Hu，Y. BSDE with quadratic growth and unbounded terminal value, ProbabilityTheory and Related Fields，2006，136(4)，604-618.

　　[18] Buckdahn, R. Engelbert, H.-J. and Rascanu, A. On weak solutions of backward stochasticdifferential equations [J], Rossiiskaya Akademiya Nauk. Teoriyea Veroyatnostei i ee Primeneiya，2004，49(1)，70-108.

　　[19] Ma, H., J. Zhang，and Z. Zheng, Weak solutions for forward-backward SDRs: a martingaleproblem approach [J] ? The Annals of Probability，2008, 36(6) 2092-2125.

　　[20] Liang, G., Lyons, T. and Qian, Z. Backward stochastic dynamics on a filtered probabilityspace [J]. 2009.

　　[21] Duffie, D. and Epstein, L. Stochastic differential utility，Econometrica，1992, 60(2)，353-394.

　　[22] Weidong Zhao, Lifeng Chen, and Shige Peng. A new kind of accurate numerical method forbackward stochastic differential equations. SIAM J. SCI. COMPUT. Vol. 28, NO. 4,pp. 1563-1581.

　　[23] Douglas J, Ma J，Protter P. Numerical Methods for Forward-backward Stochastic DifferentialEquations [J]. Annals of Applied Probability. 1996,6:940-968.

　　[24] Bally V. Approximation Scheme for Solutions of Backward Stochastic Differential Equations [J].Pitman Res. Notes Math. Ser. Q997，364:177-191.

　　[25] Bally V，Pages G. A Quantization Method for the Discretization of BSDE's and ReflectedBSDE's. Preprint. 2000.

　　[26] Bally V, Pages G. Error analysis of the quantization algorithm for obstacle problems.Preprint.2002.

　　[27] Chevance D. Discretisation des Equations DifFerentieles Stochastiques Retrogrades, NumericalMethods in Finance [A]，eds. L.C.G. Rogers&D.

　　[28] Briand P，Delyon B，and Memin J. Donsker-type Theorem for BSDEs [J]. Electron. Comm.Probab. 2001,6:1-14.